A Comprehensive Review on Electric Vehicles: Technologies, Performance Optimization, and the Role of Quantum Computing.
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| Title: | A Comprehensive Review on Electric Vehicles: Technologies, Performance Optimization, and the Role of Quantum Computing. |
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| Authors: | Teimoori, Zeinab1 (AUTHOR) zteimoori@tru.ca, Latta, Isaac1 (AUTHOR) |
| Source: | Energies (19961073). May2026, Vol. 19 Issue 10, p2405. 35p. |
| Subject Terms: | *Electric vehicles, *Quantum computing, *Sustainable transportation, *Mathematical optimization, *System of systems, *Machine learning, *Smart power grids, *Energy demand management |
| Abstract: | Electric vehicles are an integral part of transportation electrification and are increasingly embedded within smart-grid-integrated energy systems that support accessibility, efficiency, and reduced environmental impact. As electric vehicle adoption grows, new challenges emerge in intelligent vehicle control, energy management, load management, and EV integration into the smart grid. In response, this paper presents a comprehensive survey of electric vehicle systems covering market evolution, enabling technologies, operational performance, and the energy systems that underpin scalable electric mobility. The survey illustrates the need for real-time monitoring, control, and optimization while exploring advanced computational approaches in quantum computing and machine learning that can address these challenges. Finally, this work identifies open research challenges and future directions related to energy optimization, smart-grid integration, and intelligent load management to provide a unified perspective on electric vehicles as a key component of both intelligent vehicle systems and sustainable smart transportation. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 194141520 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Comprehensive Review on Electric Vehicles: Technologies, Performance Optimization, and the Role of Quantum Computing. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Teimoori%2C+Zeinab%22">Teimoori, Zeinab</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zteimoori@tru.ca</i><br /><searchLink fieldCode="AR" term="%22Latta%2C+Isaac%22">Latta, Isaac</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. May2026, Vol. 19 Issue 10, p2405. 35p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Electric+vehicles%22">Electric vehicles</searchLink><br />*<searchLink fieldCode="DE" term="%22Quantum+computing%22">Quantum computing</searchLink><br />*<searchLink fieldCode="DE" term="%22Sustainable+transportation%22">Sustainable transportation</searchLink><br />*<searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br />*<searchLink fieldCode="DE" term="%22System+of+systems%22">System of systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Smart+power+grids%22">Smart power grids</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+demand+management%22">Energy demand management</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Electric vehicles are an integral part of transportation electrification and are increasingly embedded within smart-grid-integrated energy systems that support accessibility, efficiency, and reduced environmental impact. As electric vehicle adoption grows, new challenges emerge in intelligent vehicle control, energy management, load management, and EV integration into the smart grid. In response, this paper presents a comprehensive survey of electric vehicle systems covering market evolution, enabling technologies, operational performance, and the energy systems that underpin scalable electric mobility. The survey illustrates the need for real-time monitoring, control, and optimization while exploring advanced computational approaches in quantum computing and machine learning that can address these challenges. Finally, this work identifies open research challenges and future directions related to energy optimization, smart-grid integration, and intelligent load management to provide a unified perspective on electric vehicles as a key component of both intelligent vehicle systems and sustainable smart transportation. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=194141520 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en19102405 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 35 StartPage: 2405 Subjects: – SubjectFull: Electric vehicles Type: general – SubjectFull: Quantum computing Type: general – SubjectFull: Sustainable transportation Type: general – SubjectFull: Mathematical optimization Type: general – SubjectFull: System of systems Type: general – SubjectFull: Machine learning Type: general – SubjectFull: Smart power grids Type: general – SubjectFull: Energy demand management Type: general Titles: – TitleFull: A Comprehensive Review on Electric Vehicles: Technologies, Performance Optimization, and the Role of Quantum Computing. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Teimoori, Zeinab – PersonEntity: Name: NameFull: Latta, Isaac IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 19 – Type: issue Value: 10 Titles: – TitleFull: Energies (19961073) Type: main |
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